Papers

1

Total Citations

3

H-Index

1

About

Sae Byul Park is a researcher whose work sits at the intersection of music information retrieval and vocal performance analysis, with a particular focus on children's singing voice research. Her most notable contribution is the creation of the Children's Song Dataset (CSD), an open-source resource introduced in her 2021 paper that has already garnered 3 citations. This carefully curated dataset features 50 Korean and 50 English songs performed by a Korean female professional pop singer, with each song recorded in two separate keys to produce 200 high-quality audio recordings. By providing this standardized, bilingual collection, Park has addressed a critical gap in singing voice research, enabling more robust studies of vocal characteristics, pitch analysis, and cross-cultural musical patterns. Her work demonstrates a thoughtful approach to building foundational resources that empower other researchers to explore the nuances of vocal performance across different languages and musical contexts. Park's dataset has the potential to become a benchmark resource for studies in music education, voice science, and computational musicology.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
CSD: Children's Song Dataset for Singing Voice Research
3 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Korea Advanced Institute of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago